Using artificial intelligence to improve administrative process in Medicaid

Author:

Cho Ted1ORCID,Miller Brian J234ORCID

Affiliation:

1. Department of Pediatrics, UCSF Benioff Children's Hospital , San Francisco, CA, 94158 , United States

2. Division of Hospital Medicine, Department of Medicine, The Johns Hopkins University School of Medicine , Baltimore, MD, 21287 , United States

3. The Johns Hopkins Carey Business School , Baltimore, MD, 21202 , United States

4. American Enterprise Institute , Washington, DC, 20025 , United States

Abstract

Abstract Administrative burden across state–federal benefits programs is unsustainable, and artificial intelligence (AI) and associated technologies have emerged and resulted in significant interest as possible solutions. While early in development, AI has significant potential to reduce administrative waste and increase efficiency, with many government agencies and state legislators eager to adopt the new technology. Turning to existing frameworks defining what functions are considered “inherently governmental” can help determine where more autonomous implementation could be not only appropriate but also provide unique advantages. Such areas could include eligibility and redetermination of Medicaid eligibility as well as preventing improper Medicaid payments. However, while AI is promising, this technology may not be ready for fully autonomous implementation and instead could be deployed to augment human capabilities with robust safeguards until it has proven to be more reliable. In the meantime, the Centers for Medicare and Medicaid Services should release clear guidance around the use of AI by state Medicaid programs, and policymakers must work together to harness AI technologies in order to improve the efficiency and effectiveness of the Medicaid program.

Publisher

Oxford University Press (OUP)

Reference32 articles.

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